Jennifer Onopa

541 total citations · 1 hit paper
12 papers, 329 citations indexed

About

Jennifer Onopa is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Jennifer Onopa has authored 12 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 3 papers in Genetics and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Jennifer Onopa's work include Nutritional Studies and Diet (9 papers), Consumer Attitudes and Food Labeling (3 papers) and Nutrition, Genetics, and Disease (3 papers). Jennifer Onopa is often cited by papers focused on Nutritional Studies and Diet (9 papers), Consumer Attitudes and Food Labeling (3 papers) and Nutrition, Genetics, and Disease (3 papers). Jennifer Onopa collaborates with scholars based in United States, Australia and Greece. Jennifer Onopa's co-authors include Dariush Mozaffarian, Junxiu Liu, Colin D. Rehm, Renata Micha, Peilin Shi, Jianyi Zhang, Gitanjali Singh, Victoria Miller, Julia Reedy and Patrick Webb and has published in prestigious journals such as JAMA, Circulation and American Journal of Preventive Medicine.

In The Last Decade

Jennifer Onopa

12 papers receiving 323 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trends in Diet Quality Among Youth in the United States, 1999-2016

2020 187 citations Junxiu Liu, Colin D. Rehm et al. JAMA profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jennifer Onopa United States	8	225	83	62	52	34	12	329
Agnieszka Kozioł-Kozakowska Poland	10	299 1.3×	58 0.7×	82 1.3×	56 1.1×	49 1.4×	28	494
Ioanna Bakogianni Greece	9	355 1.6×	129 1.6×	118 1.9×	55 1.1×	27 0.8×	15	479
Brenda Martínez‐Tapia Mexico	10	221 1.0×	108 1.3×	81 1.3×	45 0.9×	19 0.6×	20	348
Julie Metos United States	10	230 1.0×	135 1.6×	55 0.9×	112 2.2×	14 0.4×	24	453
María Elisa Zapata Argentina	11	228 1.0×	63 0.8×	83 1.3×	31 0.6×	27 0.8×	36	342
Xenia Cleanthous Australia	11	241 1.1×	45 0.5×	60 1.0×	175 3.4×	22 0.6×	17	432
Haley Parker United States	9	187 0.8×	70 0.8×	32 0.5×	52 1.0×	83 2.4×	18	361
Paula Rodríguez-Alonso Spain	8	276 1.2×	53 0.6×	73 1.2×	99 1.9×	20 0.6×	15	386
Eirini Trichia United Kingdom	8	334 1.5×	131 1.6×	96 1.5×	104 2.0×	14 0.4×	26	524
Jerold R. Mande United States	8	190 0.8×	139 1.7×	48 0.8×	35 0.7×	14 0.4×	9	304

Countries citing papers authored by Jennifer Onopa

Since Specialization

Citations

This map shows the geographic impact of Jennifer Onopa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer Onopa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Onopa more than expected).

Fields of papers citing papers by Jennifer Onopa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Onopa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer Onopa. The network helps show where Jennifer Onopa may publish in the future.

Co-authorship network of co-authors of Jennifer Onopa

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Onopa. A scholar is included among the top collaborators of Jennifer Onopa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Onopa. Jennifer Onopa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Miller, Victoria, Gitanjali Singh, Jennifer Onopa, et al.. (2021). Global Dietary Database 2017: data availability and gaps on 54 major foods, beverages and nutrients among 5.6 million children and adults from 1220 surveys worldwide. BMJ Global Health. 6(2). e003585–e003585. 45 indexed citations

Peñalvo, José L., Elly Mertens, Irina Uzhova, et al.. (2021). Effectiveness of workplace wellness programmes for dietary habits, overweight, and cardiometabolic health: a systematic review and meta-analysis. The Lancet Public Health. 6(9). e648–e660. 37 indexed citations

Liu, Junxiu, Colin D. Rehm, Jennifer Onopa, & Dariush Mozaffarian. (2020). Trends in Diet Quality Among Youth in the United States, 1999-2016. JAMA. 323(12). 1161–1161. 187 indexed citations breakdown →

Kim, David D., Parke Wilde, Dominique S. Michaud, et al.. (2019). Cost Effectiveness of Nutrition Policies on Processed Meat: Implications for Cancer Burden in the U.S.. American Journal of Preventive Medicine. 57(5). e143–e152. 20 indexed citations

Kim, David D., Parke Wilde, Dominique S. Michaud, et al.. (2019). Cost-effectiveness of Nutrition Policies to Discourage Processed Meat Consumption: Implications for Cancer Burden in the United States (OR16-01-19). Current Developments in Nutrition. 3. nzz051.OR16–1. 2 indexed citations

Miller, Victoria, Gitanjali Singh, Renata Micha, et al.. (2019). Estimated Global, Regional, and National Cardiovascular Disease Burdens Related to Fruit and Vegetable Consumption: An Analysis from the Global Dietary Database (FS01-01-19). Current Developments in Nutrition. 3. nzz034.FS01–1. 11 indexed citations

Lara-Castor, Laura, Frederick Cudhea, Dimitra Karageorgou, et al.. (2019). Global, Regional and National Consumption of Major Beverages in 2015: Systematic Analysis of Country-Specific Nutrition Surveys Worldwide (P10-038-19). Current Developments in Nutrition. 3. nzz034.P10–38. 2 indexed citations

O’Hearn, Meghan, Fumiaki Imamura, Frederick Cudhea, et al.. (2019). The State of Diet Quality Globally: A Systematic Assessment of Worldwide Dietary Patterns Using the Global Dietary Database (P10-045-19). Current Developments in Nutrition. 3. nzz034.P10–45. 7 indexed citations

Miller, Victoria, Renata Micha, Frederick Cudhea, et al.. (2019). Global and National Consumption of Animal Source Foods for Children and Adults in 2015: Systematic Analysis of Country-Specific Nutrition Surveys Worldwide (P10-077-19). Current Developments in Nutrition. 3. nzz034.P10–77. 2 indexed citations

10.

Reedy, Julia, Frederick Cudhea, Peilin Shi, et al.. (2019). Global Intakes of Total Protein and Sub-types; Findings from the 2015 Global Dietary Database (P10-050-19). Current Developments in Nutrition. 3. nzz034.P10–50. 8 indexed citations

11.

Miller, Victoria, Frederick Cudhea, Gitanjali Singh, et al.. (2019). Estimated Global, Regional, and National Cardiovascular Disease Burdens Related to Fruit and Vegetable Consumption: An Analysis from the Global Dietary Database (FS01-01-19). Current Developments in Nutrition. 3. nzz028.FS01–1. 7 indexed citations

12.

Peñalvo, José L., Renata Micha, Jessica Smith, et al.. (2017). Abstract MP005: Do Worksite Wellness Programs Improve Dietary Behaviors and Adiposity? A Systematic Review and Meta-analysis. Circulation. 135(suppl_1). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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